Ultrasound despeckling by anisotropic diffusion and total variation methods for liver fibrosis diagnostics
作者：
Highlights：
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• Anisotropic diffusion and total variation methods for image despeckling are compared.
• A two-step algorithm for fibrosis stage determination is proposed.
• The algorithm includes the elastography and ultrasound image texture analysis.
• The total classification accuracy in case of separation into 3 classes is 90%.
• Despeckling makes the classification more independent from train–test set selection.
摘要
•Anisotropic diffusion and total variation methods for image despeckling are compared.•A two-step algorithm for fibrosis stage determination is proposed.•The algorithm includes the elastography and ultrasound image texture analysis.•The total classification accuracy in case of separation into 3 classes is 90%.•Despeckling makes the classification more independent from train–test set selection.
论文关键词：Liver fibrosis,B-mode ultrasound images,Speckle filtering,Anisotropic diffusion,Total variation,Texture analysis,Classification algorithms
论文评审过程：Received 28 January 2016, Revised 5 June 2017, Accepted 11 September 2017, Available online 22 September 2017, Version of Record 7 November 2017.
论文官网地址：https://doi.org/10.1016/j.image.2017.09.005
